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Objectives This study assesses associations between mistreatment by a provider during childbirth and maternal complications in Uttar Pradesh, India. Methods Cross-sectional survey data were collected from women (N = 2639) who had delivered at 68 public health facilities in Uttar Pradesh, participating in a quality of care study. Participants were recruited from April to July 2015 and surveyed on demographics, mistreatment during childbirth (measure developed for this study, Cronbach's alpha = 0.70), and maternal health complications. Regression models assessed associations between mistreatment during childbirth and maternal complications, at delivery and postpartum, adjusting for demographics and pregnancy complications. Results Participants were aged 17-48 years, and 30.3% were scheduled caste/scheduled tribe. One in five (20.9%) reported mistreatment by their provider during childbirth, including discrimination and abuse; complications during delivery (e.g., obstructed labor) and postpartum (e.g., excessive bleeding) were reported by 45.8 and 41.5% of women, respectively. Health providers at delivery included staff nurses (81.8%), midwives (14.0%), and physicians (2.2%); Chi square analyses indicate that women were significantly more likely to report mistreatment when their provider was a nurse rather than a physician or midwife. Women reporting mistreatment by a provider during childbirth had higher odds of complications at delivery (AOR = 1.32; 95% CI 1.05-1.67) and postpartum (AOR = 2.12; 95% CI 1.67-2.68). Conclusions for Practice Mistreatment of women by their provider during childbirth is a pervasive health and human rights violation, and is associated with increased risk for maternal health complications in Uttar Pradesh. Efforts to improve quality of maternal care should include greater training and monitoring of providers to ensure respectful treatment of patients. [ABSTRACT FROM AUTHOR]

Background: Uttar Pradesh (UP) accounts for the largest number of neonatal deaths in India. This study explores potential socio-economic inequities in household-level contacts by community health workers (CHWs) and whether the effects of such household-level contacts on receipt of health services differ across populations in this state. Methods: A multistage sampling design identified live births in the last 12 months across the 25 highest-risk districts of UP (N = 4912). Regression models described the relations between household demographics (caste, religion, wealth, literacy) and CHW contact, and interactions of demographics and CHW contact in predicting health service utilization (> = 4 antenatal care (ANC) visits, facility delivery, modern contraceptive use). Results: No differences were found in likelihood of CHW contact based on caste, religion, wealth or literacy. Associations of CHW contact with receipt of ANC and facility delivery were significantly affected by religion, wealth and literacy. CHW contact increased the odds of 4 or more ANC visits only among non-Muslim women, increased the odds of both four or more ANC visits and facility delivery only among lower wealth women, increased the odds of facility delivery to a greater degree among illiterate vs. literate women. Conclusion: CHW visits play a vital role in promoting utilization of critical maternal health services in UP. However, significant social inequities exist in associations of CHW visits with such service utilization. Research to clarify these inequities, as well as training for CHWs to address potential biases in the qualities or quantity of their visits based on household socio-economic characteristics is recommended. [ABSTRACT FROM AUTHOR]

Background:This paper explores the multilevel factors associated with maternal health utilization in India’s most populous state, Uttar Pradesh. 3 key utilization practices: registration of pregnancy, receipt of antenatal care, and delivery at home are examined for district and individual level predictors. The data is based on 5666 household surveys conducted as part of a baseline evaluation of the Uttar Pradesh Technical Support Unit (UPTSU.) program. Objectives:This intervention aims to assist the Government of Uttar Pradesh in increasing the efficiency, effectiveness, and equity of service delivery across a continuum of reproductive, maternal, new-born, child, and adolescent health (RMNCH+A) outcomes. Methods:The paper employs multilevel models that control for individuals being nested within districts in order to understand the predictors of maternal health care utilization. Results:The study identifies several individual-level predictors of health care utilization, including: literacy of the woman, the husband’s schooling, age at marriage, and socio-economic factors. Key predictors of pregnancy registration include husband’s schooling (OR 1.49, 95% CI 1.26–1.76), having a bank account (OR 1.36, 95% CI 1.11–1.68), and owning a house (OR 2.28, 95% CI 1.85–2.80). Factors affecting antenatal care include the woman’s literacy (OR 1.49, 95% CI 1.28–1.73), the respondent having had a job in the last year (OR 1.39, 95% CI 1.10–1.77), and owning a house (OR 2.83, 95% CI 2.27–3.53). Home delivery tends to be associated with woman’s literacy (OR 0.62, 95% CI 0.54–0.72) and marriage age of 15 and younger (OR 1.48, 95% CI 1.26–1.73). Conclusions:Interventions having equity considerations need to disrupt existing patterns of the health gradient. Successful implementation of such interventions, necessitate understanding the mechanisms that can disrupt the unequal utilization patterns and target domains of disadvantage. Knowledge of key predictors of utilization can aid in the implementation of such complex interventions. [ABSTRACT FROM PUBLISHER]